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Target Following Performance in the Presence of Latency, Jitter, and Signal Dropouts

机译:在延迟,抖动和信号丢失的情况下目标跟踪性能

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In this paper we describe how human target following performance changes in the presence of latency, latency variations, and signal dropouts. Many modern games and game systems allow for networked, remote participation. In such networks latency, variations and dropouts are commonly encountered factors. Our user study reveals that all of the investigated factors decrease tracking performance. The errors increase very quickly for latencies of over 110 ms, for latency jitters above 40 ms, and for dropout rates of more than 10 %. The effects of target velocity on errors are close to linear, and transverse errors are smaller than longitudinal ones. The results can be used to better quantify the effects of different factors on moving objects in interactive scenarios. They also aid the designers in selecting target sizes and velocities, as well as in adjusting smoothing, prediction and compensation algorithms.
机译:在本文中,我们描述了在存在潜伏期,潜伏期变化和信号丢失的情况下,人类目标如何跟随性能变化。许多现代游戏和游戏系统都允许网络远程参与。在这样的网络中,延迟,变化和丢失是常见的因素。我们的用户研究表明,所有调查的因素都会降低跟踪性能。对于超过110毫秒的延迟,超过40毫秒的延迟抖动以及超过10%的丢失率,错误会非常迅速地增加。目标速度对误差的影响接近线性,横向误差小于纵向误差。结果可用于更好地量化交互式场景中不同因素对运动对象的影响。它们还帮助设计人员选择目标尺寸和速度,以及调整平滑,预测和补偿算法。

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